Profile Job Results
Jobs
jp164dx85
Results Ready
Name
whisper_medium_decoder
Target Device
- Samsung Galaxy S22 5G
- Android 12
- Snapdragon® 8 Gen 1 | SM8450
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
input_ids: int32[1, 1]position_ids: int32[1]k_cache_self_0_in: float16[16, 1, 64, 199]v_cache_self_0_in: float16[16, 1, 199, 64]attention_mask: float16[1, 1, 1, 200]k_cache_cross_0: float16[16, 1, 64, 1500]v_cache_cross_0: float16[16, 1, 1500, 64]k_cache_self_1_in: float16[16, 1, 64, 199]v_cache_self_1_in: float16[16, 1, 199, 64]k_cache_cross_1: float16[16, 1, 64, 1500]v_cache_cross_1: float16[16, 1, 1500, 64]k_cache_self_2_in: float16[16, 1, 64, 199]v_cache_self_2_in: float16[16, 1, 199, 64]k_cache_cross_2: float16[16, 1, 64, 1500]v_cache_cross_2: float16[16, 1, 1500, 64]k_cache_self_3_in: float16[16, 1, 64, 199]v_cache_self_3_in: float16[16, 1, 199, 64]k_cache_cross_3: float16[16, 1, 64, 1500]v_cache_cross_3: float16[16, 1, 1500, 64]k_cache_self_4_in: float16[16, 1, 64, 199]v_cache_self_4_in: float16[16, 1, 199, 64]k_cache_cross_4: float16[16, 1, 64, 1500]v_cache_cross_4: float16[16, 1, 1500, 64]k_cache_self_5_in: float16[16, 1, 64, 199]v_cache_self_5_in: float16[16, 1, 199, 64]k_cache_cross_5: float16[16, 1, 64, 1500]v_cache_cross_5: float16[16, 1, 1500, 64]k_cache_self_6_in: float16[16, 1, 64, 199]v_cache_self_6_in: float16[16, 1, 199, 64]k_cache_cross_6: float16[16, 1, 64, 1500]v_cache_cross_6: float16[16, 1, 1500, 64]k_cache_self_7_in: float16[16, 1, 64, 199]v_cache_self_7_in: float16[16, 1, 199, 64]k_cache_cross_7: float16[16, 1, 64, 1500]v_cache_cross_7: float16[16, 1, 1500, 64]k_cache_self_8_in: float16[16, 1, 64, 199]v_cache_self_8_in: float16[16, 1, 199, 64]k_cache_cross_8: float16[16, 1, 64, 1500]v_cache_cross_8: float16[16, 1, 1500, 64]k_cache_self_9_in: float16[16, 1, 64, 199]v_cache_self_9_in: float16[16, 1, 199, 64]k_cache_cross_9: float16[16, 1, 64, 1500]v_cache_cross_9: float16[16, 1, 1500, 64]k_cache_self_10_in: float16[16, 1, 64, 199]v_cache_self_10_in: float16[16, 1, 199, 64]k_cache_cross_10: float16[16, 1, 64, 1500]v_cache_cross_10: float16[16, 1, 1500, 64]k_cache_self_11_in: float16[16, 1, 64, 199]v_cache_self_11_in: float16[16, 1, 199, 64]k_cache_cross_11: float16[16, 1, 64, 1500]v_cache_cross_11: float16[16, 1, 1500, 64]k_cache_self_12_in: float16[16, 1, 64, 199]v_cache_self_12_in: float16[16, 1, 199, 64]k_cache_cross_12: float16[16, 1, 64, 1500]v_cache_cross_12: float16[16, 1, 1500, 64]k_cache_self_13_in: float16[16, 1, 64, 199]v_cache_self_13_in: float16[16, 1, 199, 64]k_cache_cross_13: float16[16, 1, 64, 1500]v_cache_cross_13: float16[16, 1, 1500, 64]k_cache_self_14_in: float16[16, 1, 64, 199]v_cache_self_14_in: float16[16, 1, 199, 64]k_cache_cross_14: float16[16, 1, 64, 1500]v_cache_cross_14: float16[16, 1, 1500, 64]k_cache_self_15_in: float16[16, 1, 64, 199]v_cache_self_15_in: float16[16, 1, 199, 64]k_cache_cross_15: float16[16, 1, 64, 1500]v_cache_cross_15: float16[16, 1, 1500, 64]k_cache_self_16_in: float16[16, 1, 64, 199]v_cache_self_16_in: float16[16, 1, 199, 64]k_cache_cross_16: float16[16, 1, 64, 1500]v_cache_cross_16: float16[16, 1, 1500, 64]k_cache_self_17_in: float16[16, 1, 64, 199]v_cache_self_17_in: float16[16, 1, 199, 64]k_cache_cross_17: float16[16, 1, 64, 1500]v_cache_cross_17: float16[16, 1, 1500, 64]k_cache_self_18_in: float16[16, 1, 64, 199]v_cache_self_18_in: float16[16, 1, 199, 64]k_cache_cross_18: float16[16, 1, 64, 1500]v_cache_cross_18: float16[16, 1, 1500, 64]k_cache_self_19_in: float16[16, 1, 64, 199]v_cache_self_19_in: float16[16, 1, 199, 64]k_cache_cross_19: float16[16, 1, 64, 1500]v_cache_cross_19: float16[16, 1, 1500, 64]k_cache_self_20_in: float16[16, 1, 64, 199]v_cache_self_20_in: float16[16, 1, 199, 64]k_cache_cross_20: float16[16, 1, 64, 1500]v_cache_cross_20: float16[16, 1, 1500, 64]k_cache_self_21_in: float16[16, 1, 64, 199]v_cache_self_21_in: float16[16, 1, 199, 64]k_cache_cross_21: float16[16, 1, 64, 1500]v_cache_cross_21: float16[16, 1, 1500, 64]k_cache_self_22_in: float16[16, 1, 64, 199]v_cache_self_22_in: float16[16, 1, 199, 64]k_cache_cross_22: float16[16, 1, 64, 1500]v_cache_cross_22: float16[16, 1, 1500, 64]k_cache_self_23_in: float16[16, 1, 64, 199]v_cache_self_23_in: float16[16, 1, 199, 64]k_cache_cross_23: float16[16, 1, 64, 1500]v_cache_cross_23: float16[16, 1, 1500, 64]Completion Time
7/25/2026, 11:19:21 AM
Versions
- QAIRT: v2.45.0.260326154327
- QNN Backend API: 5.45.0
- QNN Core API: 2.34.0
- Android: 12 (SP1A.210812.016)
- AI Hub: aihub-2026.07.17.0
Estimated Inference Time
58.7 ms
Estimated Peak Memory Usage
160 ‑ 176 MB
Compute Units
NPU
5889
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.17 s | 4‑12 MB |
Subsequent App Load | 1.12 s | 2‑12 MB |
Inference | 58.7 ms | 160‑176 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.optimizations[0].type | FINALIZE_OPTIMIZATION_FLAG |
| default_graph_options.htp_options.optimizations[0].value | 3.0 |
| default_graph_options.htp_options.precision | FLOAT16 |
| default_graph_options.htp_options.vtcm_size | 0 |
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